摘要
针对多传感器管理中的多传感器空间布站对目标定位精度的影响,提出了一种基于目标定位精度Cramér-Rao下限的多传感器空间优化布站方法;该方法首先分析了多个距离角度量测传感器对目标联合定位精度的Cramér-Rao下限,然后利用目标定位精度几何稀释与多传感器联合定位Cramér-Rao下限矩阵迹之间的关系,研究了多传感器不同空间布站形式对目标定位精度的影响,推导出了传感器个数为2和3时相应的定位精度几何稀释计算公式;最后利用仿真结果验证了方法的正确性与可行性。
A study of multi sensor space configuration optimization based on target position precision Cramer--Rao Low Bound is pro posed to solve the problem that multi sensor space configuration affects target position precision. The paper analyses the target position pre- cision Cramer--Rao Low Bound with multiple distance and angle measurement sensors. Then the mathematical relation between target posi tion Geometrical dilution of precision and the target position precision Cramer--Rao Low Bound is studied. At the same time, the calculation formula of target position Geometrical dilution of precision are provided when the number of sensors is 2 or 3. Simulation results show that this method is correctable and feasible.
出处
《计算机测量与控制》
北大核心
2013年第3期738-742,746,共6页
Computer Measurement &Control
